{"id":"W4297965350","doi":"10.1021/acs.est.2c03608","title":"Defining the Chemical Additives Driving <i>In Vitro</i> Toxicities of Plastics","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Triphenyl phosphate; Pellets; Chemistry; Toxicity; Phosphate; Pellet; Polyethylene; In vitro; Fire retardant; Environmental chemistry; Organic chemistry; Materials science; Biochemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000397726,0.0001179556,0.000129533,0.0001672211,0.0004525041,0.00001041563,0.0007239358,0.00004510938,0.00160106],"category_scores_gemma":[0.0001068524,0.0001001381,0.0000301338,0.0008631986,0.003316016,0.000102275,0.00146884,0.0003230131,0.00005716159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004838977,"about_ca_system_score_gemma":0.00002235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002477051,"about_ca_topic_score_gemma":0.000008127504,"domain_scores_codex":[0.9984861,0.00003066171,0.0002325375,0.0003422615,0.000492509,0.0004159345],"domain_scores_gemma":[0.9994757,0.0001407597,0.0001163721,0.0002234017,8.529565e-7,0.00004288124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001270316,0.00008188039,0.01109847,6.171903e-7,0.000001592596,0.000005006944,0.0002309429,0.003518149,0.9795462,0.001629509,0.00008168587,0.003793247],"study_design_scores_gemma":[0.00036177,0.0001871205,0.02999004,0.000008614477,0.00000919494,0.0001076545,0.003978508,0.005874758,0.9466285,0.001724417,0.01083292,0.0002965601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973803,0.0000912631,0.0002578373,0.0002338459,0.0001368136,0.000112025,0.00008144835,0.00002366523,0.001682852],"genre_scores_gemma":[0.9990581,0.00001547565,0.0007502951,0.00007796153,0.000006333994,0.00003320285,0.000005795534,0.000007428048,0.00004542462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03291775,"threshold_uncertainty_score":0.9993964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002541516056575874,"score_gpt":0.1740345548821955,"score_spread":0.1714930388256196,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}